Advanced Multiscale Simulation Lab: sktmodeling.ru
My research is focused on development of new efficient methods for molecular and mesoscale simulations with applications to practical problem of colloid and interface science. Since joining Skoltech in 2018, I am working on data-driven modeling, which incorporates classical deterministic methods, such as molecular dynamics or finite elements and machine learning. These hybrid methods are applied in computational design of porous materials, as well as tailoring polymers and surfactants to particular applications (e.g. in oil & gas).
After obtaining PhD, I worked as a scientist at a small research company located in NJ, and later at Rutgers University as a research professor. I co-authored about 65 journal papers and numerous research reports on different projects. Because I enjoy working on live practical topics, Skoltech attracts me by strong connections to industry, not to mention students of talent and academic preparation and computer facilities.
Coming in the following academic years: